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1 to 10 of 333 Results
Oct 13, 2026
Aryana, Saman A.; Yang, Qian; Delos, Mo K.; Rustamov, Nijat, 2026, "Interpretable Pressure-dependent Permeability Modeling for Confined Gas Transport in Complex Nano-Porous Media", https://doi.org/10.15786/LSKYKF, Wyoming Data Repository, V1
This dataset contains the processed data and analysis code for the study "Interpretable Pressure-dependent Permeability Modeling for Confined Gas Transport in Complex Nano-Porous Media". The study derives a closed-form ("white-box") model of apparent gas permeability in nano-porous media such as shale. In this work we use a data-driven workflow to...
Oct 7, 2026 - University of Wyoming Dataverse Collection
Timothy A. Myers; Travis Aerenson; Daniel T. McCoy; Mark D. Zelinka; Jacqueline M. Nugent; Hunter Y. Brown, 2026, "Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis", https://doi.org/10.15786/XDMITE, Wyoming Data Repository, V1
Global, approximately monthly E3SMv3 atmosphere output from a 250-member present-day AMIP-style perturbed-parameter ensemble and the corresponding default E3SMv3 simulation. The AMIP-style ensemble was constructed for the associated Myers et al. paper using the 25 parameter combinations from the Nephele PPE design. The data were remapped from the n...
Oct 5, 2026
Rustamov, Nijat; Aryana, Saman A., 2026, "Data for Fourier Hermite Kinetic Network for Gas Transport Under High Knudsen Numbers", https://doi.org/10.15786/3U4XKV, Wyoming Data Repository, V1
Fourier Hermite Kinetic Network is a novel sequence-to-state temporal-spectral architecture designed to accelerate the prediction of rarefied gas transport in porous media. This dataset contains training and validation samples, codes and blind tests used to evaluate model performance.
Sep 8, 2026 - University of Wyoming Dataverse Collection
Sluka, Christina, 2026, "Data for: Comparison of iPhone and DSLR photogrammetry methods with implications for geometric morphometric analysis", https://doi.org/10.15786/JH8AKC, Wyoming Data Repository, V1
Homologized XYZ point clouds of 29 raccoon (Procyon lotor) skulls produced by the software Abound and Metashape and modified by the software GPSA2 and used in the publication: Sluka C.M., Abbott S.T., Wright S., and Clementz M.T. Comparison of smartphone and DSLR photogrammetry methods with implications for geometric morphometric analysis. 2026. Ra...
Aug 5, 2026 - WSGS
Kehoe, K.S.; Bowen, E.; Schwaderer, C.W.; Mauch, J.P.; Doorn, C.J.; Webber, P.M.; Jensen, C.G.; Ring, J.D., 2026, "Data for the Earth MRI Western Phosphate Field Geochemical Reconnaissance Project in Wyoming", https://doi.org/10.15786/D2CFI8, Wyoming Data Repository, V1
This data release contains the stratigraphic data and geochemical results for the Wyoming portion of the Earth MRI Western Phosphate Field Geochemical Reconnaissance Project. This project was funded through USGS Earth MRI award no. G22AC00609 to the Idaho Geological Survey (IGS); the Wyoming State Geological Survey (WSGS) was a subrecipient through...
Jul 27, 2026 - University of Wyoming Dataverse Collection
Koger, Benjamin Bryan; Albert B. Kao; Curry J. Cunningham; Thomas P. Quinn; Caroline Kittle; Andrew M. Berdahl, 2026, "Data for Efficient and accurate spatio-temporal population monitoring of mobile animals using drones and computer vision", https://doi.org/10.15786/YMFB2M, Wyoming Data Repository, V1
This is the dataset that corresponds with the paper "Data for Efficient and accurate spatio-temporal population monitoring of mobile animals using drones and computer vision" accepted in the journal Remote Sensing in Ecology and Conservation. It includes count data of sockeye salmon in breeding ponds near Pedro Bay Alaska from multiple methods: our...
Jul 13, 2026 - University of Wyoming Dataverse Collection
Aerenson, Travis, 2026, "Evaporation Dataset of Regional Precipitation Sources (E-DRoPS)", https://doi.org/10.15786/HJPWJX, Wyoming Data Repository, V2, UNF:6:D258e6G3mKI2M4t3Dfay+w== [fileUNF]
This is the E-DRoPS dataset that shows the evaporative source region for precipitation events into each HUC2 region of the United States at daily-timesteps from 1990-2024. A full description is available in Aerenson et al. (2026). This data is available for public use, however considerable time and effort was put into generating it, so if this data...
Jul 7, 2026 - University of Wyoming Dataverse Collection
Bussmann, Jeffra D.; Perez, Esther; Bryant, Sheila J., 2026, "Data for article: Toward STEM library guides for positive social change: Exploring the presence of social justice, equity, diversity, and inclusion concepts on chemistry, mathematics, and physics LibGuides", https://doi.org/10.15786/MJP4Q9, Wyoming Data Repository, V1, UNF:6:TrxeCNyfJsWUJC7HV2YnSw== [fileUNF]
This dataset contains data and Jupyter notebook code files for the associated article, an exploratory content analysis of social justice and equity, diversity, and inclusion content found in library guides for a selected set of higher education institutions across the United States. The concept coding framework included the following 40 codes: ['Ab...
Jul 6, 2026 - University of Wyoming Dataverse Collection
Bertalot, Sean Kelly; Blechinger, Tristan, 2026, "10m Bathymetric DEM for Glendo Reservoir and Jackson Lake, WY", https://doi.org/10.15786/J0JELD, Wyoming Data Repository, V1
10 meter bathymetric DEM's created for Glendo Reservoir (Platte County, WY) and Jackson Lake (Teton County, WY). Data were generated by interpolated depth data collected from commercially available rear-mounted fishing sonar during the summer of 2025. EPSG: 4326.
Jun 24, 2026 - University of Wyoming Stratospheric Aerosol Measurements
Deshler, Terry, 2023, "Mid Latitude | University of Wyoming Stratospheric Aerosol Measurements", https://doi.org/10.15786/WYOSCHOLAR/9897, Wyoming Data Repository, V2
The globally distributed stratospheric aerosol are a constant but highly variable component of the Earth’s atmosphere. They impact climate through their albedo and ozone through heterogeneous chemistry. For these reasons they must be considered in all climate prediction models, and there are a host of measurement platforms to characterize these aer...
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